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Junior Machine Learning Engineer Jobs (NOW HIRING)

Errgo

Junior Machine Learning Engineer

Manhattan, NY · On-site

$85 - $110/hr

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML models that power intelligent features across the platform. This role offers the opportunity to work ...

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models ...

Pangram

Machine Learning Engineer (Junior)

Manhattan, NY · On-site

$90 - $130/hr

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models ...

ENSCO, Inc.

Machine Learning Engineer

Melbourne, FL · On-site

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with ... Provide mentorship to junior ML engineers. A self-starter with excellent oral and written ...

Qubeaxis

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $180/hr

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML ... We run a structured onboarding programme for junior hires including a dedicated mentor, a 90-day ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

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Junior Machine Learning Engineer information

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How much do junior machine learning engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for junior machine learning engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
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Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Junior Machine Learning Engineer

Errgo

Manhattan, NY • On-site

$85 - $110/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML models that power intelligent features across the platform. This role offers the opportunity to work alongside experienced ML engineers and data scientists, gaining hands-on experience with the full machine learning lifecycle—from data preparation and model training through evaluation and production deployment.The ideal candidate is passionate about machine learning, has strong programming fundamentals, and is eager to apply academic knowledge to real-world problems. This position provides mentorship, exposure to production ML systems, and the opportunity to grow technical skills in a supportive environment.The engineer will work on meaningful projects that directly impact users, learning MLOps best practices while contributing to model development and pipeline maintenance.

What you'll do
  • Assist in developing and training machine learning models using PyTorch or TensorFlow
  • Write Python code for data preprocessing, feature engineering, and model evaluation
  • Help build and maintain ML pipelines for training and inference
  • Collaborate with data engineers to access and process training data
  • Document model performance, experiments, and technical decisions
  • Learn MLOps practices and contribute to model deployment workflows
What you bring
  • 0-2 years of experience in machine learning or data science
  • Strong Python skills with experience in ML libraries (PyTorch, TensorFlow, scikit-learn)
  • Understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics)
  • Familiarity with SQL and data manipulation (pandas, numpy)
  • Exposure to cloud platforms (AWS, GCP) is a plus
  • Bachelor's or Master's degree in Computer Science, Statistics, or related field
What you get
  • Medical, dental, and vision insurance
  • 401(k)
  • Paid time off

Job details and compensation are subject to change.

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